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I joined the Office of Scholarly Communication in November 2018 as Research Data Coordinator for the Research Data Management Facility. I manage the Data Champion Programme as part of my role. I have a PhD in Biological Anthropology from the University of Cambridge and was a Post-doctoral Research Associate at the McDonald Institute for Archaeological Research from 2009–2017, specialising in human evolution and Palaeolithic archaeology. 

Additional areas of expertise:

Archaeology data

Soniya Gupta-Rawal is a PhD student in Quantitative Marketing, advised by Professor Jaideep Prabhu at Judge Business School, University of Cambridge. She is a Commonwealth Masters Scholar 2021 and Mitsubishi Scholar 2016. Her interest lies in the empirical analysis of marketing problems at the intersection of business innovation, social impact, and marketing strategy. Soniya's current research focuses on developing the matching algorithm for mentors and nano-entrepreneurs in India by employing machine learning and econometric modelling.

Soniya’s 7+yrs of experience as a researcher in emerging markets fuels her inspiration to contribute to the sustainable business ecosystem as she has held positions as a Researcher at the Department of Strategic Marketing, MICA, India; Research Fellow at the Centre for Advanced Studies in Policy Research; and Research Consultant at Ernst & Young, Global Delivery Service, India. She has interned at Grant Thornton, EY India, Urban Company and Parliament of India. She is constantly learning and developing a comprehensive understanding of the working of markets and individuals at the intersection of the market, social and academic spheres.

Biocuration of lab type IIS standardised DNA registries through LIMS-Benchling and R. Assist in the overall management of OpenPlant lab, including Microscopy Hub. Conduct research in Synthetic Biology and Plant Development.

Additional areas of expertise:

Laboratory Information Management Systems (LIMS) – Benchling.

 I am a 2nd-year PhD student in computational biology. Currently, I am developing machine learning applications in studying disease mechanisms using omics integration and analysis at the Department of Surgery and the Milner Therapeutic Institute.